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Source: crossref.org
Article Timeline
Published online:
27 Apr 2026
Accepted:
21 Mar 2026
Received:
12 Mar 2026
Open Access
Original Research
Processual relational geometry: generative unfolding and self-intending closure constituting consciousness --- a transscale ontophysical framework
Roman R. Poznanski
Abstract
The fundamental nature of consciousness is not experience-based in origin but disposition-based, arising through nonlocalizable relational unfolding that exhibits coherence across regimes of relational organization, and is therefore not reducible to processes confined to specific spatial or temporal scales of brain activity. It is continuously constituted through transscale relational unfolding, requiring explanatory frameworks that extend beyond the scope of phenomenological introspection. In neurobiological models where repertoire and selection are assumed to drive process a priori this view is reinterpreted by treating process as primary through processual relational geometry: a formalism that specifies the generative constraints underlying the unfolding of non-Shannon intrinsic information as a template of the process-manifested property. Embedded quantum physicalism (EQP) delimits the admissible transformations under which relational configurations emerge, cohere, and persist, structured by gradients of admissibility. Within this framework, what is commonly described as “integration” in neuroscience is reconceptualized as closure: the stabilization of transscale relational coherence into unified (globally coherent) or mosaic relational regimes, without implying field-like continuity. Stabilization proceeds through negentropic selection of intrinsic informational patterns, constituting organized dispositional regimes. Such dispositions neither pre-exist nor emerge independently, but are constituted within a reflexive, nonreductive process whereby intrinsic information manifests as intrinsic intentionality through reflexive–projective closure within the self-intending projective framework (SIPF). This establishes a constrained relational process realism linking EQP relational unfolding to the physical realization of phenomenality. In a specific instantiation, quasipolaritonic process geometry (QPG) is a template of this ontophysical process physically realized through reflexively stabilized quasipolaritonic dynamics, understood as the operational expression of poststructural organization in embedded and dispositional systems. This process is proposed to be physically realized through quasipolaritonic dynamics in cortical neuropil microcavities, providing a substrate-specific basis for nonlocalized relational coherence in the brain. Transscale consciousness becomes phenomenal only when coherent regimes achieve self-intending projective closure, constituting enfolding as reflexive–projective stabilization and yielding transscale closure of relational organization. Transscale consciousness is thereby established as a transscale process of self-intending projective closure that is not spatially confined yet admits physical realization in part through quasipolaritonic dynamics within cortical neuropil microcavities, constituting a subject-specific embodiment.
Keywords: Processual relational geometry, relational unfolding, intrinsic information, self-indenting projective closure, quasipolaritonic dynamics, transscale ontophysical framework, relational Green’s functions.
How to Cite this Article: Roman R. Poznanski (2026). Processual relational geometry: generative unfolding and self-intending closure constituting consciousness – a transscale ontophysical framework. Journal of Multiscale Neuroscience 5(1):30-53. https://doi.org/10.56280/1744116056
Author Affiliation: 1 Bion Institute, Stegne 21, SI-1000 Ljubljana, Slovenia 2 Integrative Neuroscience Initiative, Melbourne, Victoria, Australia 3161
Conflict of Interest: The author declares no conflict of interest Copyright: © 2026 The Author(s). Published by Neural Press. This is an open access article distributed under the terms and conditions of the CC BY-NC-ND 4.0 license.
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, Neural Press or the editors, and the reviewers. Any product that may be evaluated in this article, or claim that made by its manufacturer, is not guaranteed or endorsed by the publisher.
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